A remote sensing based approach for optimizing the sampling strategies in crop monitoring and crop yield estimation studies

Ndao Babacar, Leroux Louise, Diouf Abdoul Aziz, Soti Valérie, Sambou Bienvenu. 2018. A remote sensing based approach for optimizing the sampling strategies in crop monitoring and crop yield estimation studies. In : Earth observations and geospatial science in service of sustainable development goals. Wade Souleye (ed.). Cham : Springer, 25-36. (Southern Space Studies) ISBN 978-3-030-16015-9 International Conference of the African Association of Remote Sensing and the Environment (AARSE). 12, Alexandrie, Égypte, 25 Octobre 2018/29 Octobre 2018.

Mots-clés libres : Remote Sensing, Landscape, Sampling strategy, Senegal

Auteurs et affiliations

• Ndao Babacar, CIRAD-PERSYST-UPR AIDA (FRA)
• Leroux Louise, CIRAD-PERSYST-UPR AIDA (SEN) ORCID: 0000-0002-7631-2399
• Diouf Abdoul Aziz, CSE [Centre de suivi écologique] (SEN)
• Soti Valérie, CIRAD-PERSYST-UPR AIDA (SEN)
• Sambou Bienvenu, ISE [Institut des sciences de l'environnement] (SEN)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/595418/)

Métriques

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